Get Started

Get Started

These guides demonstrate the operational flexibility and speed of the Hazelcast In-Memory Computing Platform. Set-up in seconds, data in microseconds. Operations and developer friendly.

Hazelcast IMDG

Find out for yourself how to get a Hazelcast IMDG cluster up and running. In this Getting Started guide you’ll learn how to:

  • Create a Cluster of 3 Members.
  • Start the Hazelcast Management Center.
  • Add data to the cluster using a sample client in the language of your choice.
  • Add and remove some cluster members to demonstrate the automatic rebalancing of data and back-ups.

Hazelcast Jet

Learn how to run a distributed data stream processing pipeline in Java. In this Getting Started guide you’ll learn how to:

  • Start a Hazelcast Jet cluster in your JVM.
  • Build the Word Count application.
  • Execute the application wit Jet.
  • Push testing data to the cluster and explore results

As a next step, you will be able explore the code samples and extend your setup more features and connectors.


In-depth technical discussions about in-memory systems and solutions.


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Securing Hazelcast with Cert-Manager

Rafal Leszko
by Rafal Leszko | April 06, 2020

Cert-Manager became a standard way for issuing and rotating certificates in Kubernetes and OpenShift environments. Simple to install. Simple to use. Well integrated with Vault and other secret managers. No surprise it’s the way to go if you want to set up secure communication between your applications! In this blog post, I show how to […]

Tech Talk Series

Vladimir Schreiner
by Vladimir Schreiner | April 01, 2020

Virtual meetups with Hazelcast covering data streaming and in-memory computing topics.

Jet Calculates Pi Using Python

Neil Stevenson
by Neil Stevenson | March 14, 2020

Today is PI DAY! Obviously, Pi has rather more than 2 decimal places. To have some fun, let’s use Jet to drive multiple Python workers to calculate Pi with increasing accuracy. A tiny bit of mathematics Pi is the ratio of a circle’s radius to its circumference. It’s 3.14. It’s 3.1416. It’s 3.14159266 or whatever. It […]

Hazelcast Jet 4.0 is Released!

Can Gencer
by Can Gencer | March 10, 2020

We’re happy to introduce Hazelcast Jet 4.0 and its new features. This release was a significant effort and featured 230 PRs merged which makes it one of our biggest releases in terms of new features. Distributed Transactions Jet previously had first-class support for fault tolerance through implementation of the Chandy-Lamport distributed snapshotting algorithm, which requires […]

An Easy Performance Improvement with EntryProcessor

Nicolas Frankel
by Nicolas Frankel | February 10, 2020

A lot of a developer’s work is about transforming and aggregating data: Increasing the quantity of a product in a shopping cart Applying VAT on the price of a product Computing the price of a shopping cart Etc… Sometimes, one needs the features of a full-fledged stream processing engine, such as Hazelcast Jet, sometimes not. […]

Persisting In-Memory Data for Later Usage

Nicolas Frankel
by Nicolas Frankel | February 06, 2020

Among the many capabilities of an in-memory data grid (IMDG), caching is one of the most well-known and used. However, as its name implies, data resides in memory. The memory is of finite capacity. In order not to put more data than memory can handle, we must decide how to curate it. Hazelcast comes with […]

Hazelcast IMDG 4.0 is Released

Greg Luck
by Greg Luck | February 04, 2020

I joined Hazelcast in January 2014 as employee number 12. At that time Hazelcast 3.1 was the current version. Since then, about every 7-8 months we have done a “minor” release, the latest of which is 3.12. Minor in the sense that they maintained binary compatibility. We added many features and improved many aspects of […]

Announcing the Hazelcast Community License

Greg Luck
by Greg Luck | January 30, 2020

Today, Hazelcast is moving to a three-license software licensing model:  Apache 2.0 for the core of our systems, consistent with our history A new source-available Hazelcast Community License A proprietary license for selected Enterprise operational features, consistent with our history The license model change will have no impact on users and is only intended to […]

How to Set Up Your Own On-Premises Hazelcast on Kubernetes

Rafal Leszko
by Rafal Leszko | January 27, 2020

Hazelcast loves Kubernetes. Thanks to the dedicated Hazelcast Kubernetes plugin, you can use dynamic auto-discovery. Hazelcast on Kubernetes can also run in multiple topologies: embedded, client-server, or as a sidecar. What’s more, thanks to the Helm package manager and the dedicated Hazelcast Helm Chart, you can deploy a fully functional Hazelcast server in literary minutes. […]

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